DMIA: A MALWARE DETECTION SYSTEM ON IOS PLATFORM

Author : Hongliang Liang

Affiliation : Beijing University of Posts and Telecommunications, Beijing,

Country : China

Category : Computer Science & Information Technology

Volume, Issue, Month, Year : 06, 15, December, 2016

Abstract :

iOS is a popular operating system on Apple’s smartphones, and recent security events haveshown the possibility of stealing the users' privacy in iOS without being detected, such as XcodeGhost. So, we present the design and mplementation of a malware vetting system, called DMIA. DMIA first collects runtime information of an app and then distinguish between malicious and normal apps by a novel machine learning model. We evaluated DMIA with 1000 apps from the official App Store. The results of experiments show that DMIA is effective in etecting malwares aimed to steal privacy.